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E-raamat: Computational Fluid Dynamics: An Introduction to Modeling and Applications

4.00/5 (3 hinnangut Goodreads-ist)

Issam Lakkis, Imane Khalil

Formaat: 352 pages
Ilmumisaeg: 03-Mar-2023
Kirjastus: McGraw-Hill Education
Keel: eng
ISBN-13: 9781264274956

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Mechanical engineering & materials

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Formaat: 352 pages
Ilmumisaeg: 03-Mar-2023
Kirjastus: McGraw-Hill Education
Keel: eng
ISBN-13: 9781264274956

Teised raamatud teemal:

Mechanical engineering & materials

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A new Computational Fluid Dynamics methodology that uses modeling software and is light on theory and rigorous math

This concise, highly-illustrated resource presents a new, streamlined method for approaching Computational Fluid Dynamics (CFD) that uses the cutting-edge software ANSYS Fluent and minimal mathematical computations. The book teaches, step by step, how to use the latest software from Fluent to perform the complex calculations required to simulate the free-stream flow of fluids as well as the interaction of the fluids (liquids and gases) with surfaces.

Developed from curricula taught by the authors, Computational Fluid Dynamics: An Introduction to Modeling and Applications shows how to apply high-powered numerical analyses and data structures to analyze and solve problems that involve fluid flows and heat transfer. Coverage includes laminar and turbulent flows, heat sinks, heat exchangers, and transient flows. Readers will also discover how to handle validation using real-world simulators such as wind tunnels before moving up to full-scale testing with flight tests.

Provides a new approach that involves more graphics and software to simplify CFD
Aligns with real-world applications through the use of simulation models
Written by a pair of mechanical engineering educators and thermal fluid experts

Preface

Acknowledgments

1 Conservation Laws in Thermal-Fluid Sciences

(28)

1.1 Conservation Laws in Integral Form

(7)

1.1.1 Conservation of Mass

(2)

1.1.2 Conservation of Momentum

(2)

1.1.3 Conservation of Energy

(3)

1.2 Conservation Laws in Differential Form

(11)

1.2.1 The Continuity Equation

(1)

1.2.2 Differential Form of the Conservation of Momentum

(6)

1.2.3 The Energy Equation

(3)

1.3 Special Cases

(3)

1.3.1 Steady Flow

(1)

1.3.2 Two-Dimensional Flow

(1)

1.3.3 Inviscid Flow

(2)

1.3.4 Inertia-free (Stokes) Flow

(1)

1.3.5 Constant Density Flow

(1)

1.3.6 Incompressible Flow

(1)

1.4 General Form of the Conservation Laws

(1)

1.5 Cartesian, Cylindrical, and Spherical Coordinates

(4)

1.5.1 Cartesian Coordinates

(1)

1.5.2 Cylindrical Coordinates

(1)

1.5.3 Spherical Coordinates

(3)

2 Introduction to Computational Fluid Dynamics Using the Finite Volume Method

(36)

2.1 What Is Computational Fluid Dynamics?

(1)

2.2 The Building Blocks of a CFD Solution Method

(3)

2.2.1 Sources of Numerical Error

(1)

2.2.2 Assessment of a CFD Solution Method

(1)

2.3 Numerical Representation of the Domain

(2)

2.4 The Finite Volume Method

(8)

2.4.1 Evaluation of the Volume Integral

(1)

2.4.2 Evaluation of the Surface Integral of the Diffusion Flux

(1)

2.4.3 Evaluation of the Surface Integral of the Advection Flux

(2)

2.4.4 Evaluation of ∂φ/∂n at the Face

(1)

2.4.5 Evaluation of φ at the Face

(1)

2.4.6 Evaluation of the Advection Term

(2)

2.4.7 Numerically Solving the Steady General Transport Equation

(1)

2.5 Solving of the Linear System of Equations

(3)

2.5.1 Jacobi-Based Iterative Methods

(2)

2.6 Integration in Time for Unsteady Flow

(2)

2.7 The Navier-Stokes Equations

(7)

2.7.1 Unsteady Flows

(2)

2.7.2 Steady Flow

(3)

2.8 Boundary Conditions

(4)

2.8.1 Inflow Boundary Condition

(1)

2.8.2 Wall Boundary Condition

(1)

2.8.3 Symmetry Boundary Condition

(1)

2.8.4 Outflow Boundary Condition

(1)

2.9 Solution Verification

(5)

3 Two-Dimensional Steady State Laminar Incompressible Fluid Flow

(46)

3.1 Introduction

(1)

3.2 Problem Statement

(1)

3.3 Governing Equations and Boundary Conditions

(4)

3.3.1 Exact Solution in the Fully Developed Region

(3)

3.3.2 The Entry Region

(1)

3.4 Modeling Using Fluent

(32)

3.4.1 Introduction to ANSYS Fluent

(1)

3.4.2 Geometry

(6)

3.4.3 Mesh

(5)

3.4.4 Setup

(19)

3.5 Verification

104

(7)

3.5.1 Grid Independent Study

105

(2)

3.5.2 Comparison with Exact Solution and/or Empirical relations

107

(4)

4 Three-Dimenshmal Steady State Turbulent Incompressible Fluid Flow

111

(44)

4.1 Introduction to Turbulence

112

(2)

4.2 Turbulence Modeling

114

(3)

4.2.1 The Turbulence Energy Spectrum

114

(1)

4.2.2 Reynolds Averaging

115

(1)

4.2.3 Turbulence Closure Models

116

(1)

4.2.4 Filtering

117

(1)

4.3 Problem Statement

117

(1)

4.4 Governing Equations and Boundary Conditions

118

(3)

4.4.1 Flow in the Fully Developed Region

119

(2)

4.5 Modeling Using Fluent

121

(26)

4.5.1 Geometry

121

(6)

4.5.2 Mesh

127

(4)

4.5.3 Setup

131

(7)

4.5.4 Solution

138

(9)

4.6 Verification

147

(8)

4.6.1 Grid Independent Study

147

(4)

4.6.2 Comparison with Empirical Correlations

151

(4)

5 Convection Heat Transfer for Two-Dimensional Steady State Incompressible Flow

155

(46)

5.1 Introduction to Heat Transfer

156

(4)

5.1.1 Conduction

157

(1)

5.1.2 Convection

158

(1)

5.1.3 Radiation

159

(1)

5.2 Problem Statement

160

(2)

5.3 Governing Equations and Boundary Conditions

162

(7)

5.3.1 Heat Conduction in the Pipe Wall

163

(1)

5.3.2 Forced Convection of Internal Flow

164

(2)

5.3.3 Entry Region

166

(1)

5.3.4 Fully Developed Region

167

(2)

5.4 Modeling Using Fluent

169

(28)

5.4.1 Geometr

170

(6)

5.4.2 Mesh

176

(5)

5.4.3 Setup

181

(11)

5.4.4 Results

192

(5)

5.5 Verification

197

(4)

5.5.1 Grid Independent Study

197

(1)

5.5.2 Comparison with Empirical Correlations

198

(3)

6 Three-Dimensional Fluid Flow and Heat Transfer Modeling in a Heat Exchanger

201

(48)

6.1 Introduction to Heat Exchangers

202

(5)

6.2 Problem Statement

207

(1)

6.3 Modeling Using Fluent

207

(37)

6.3.1 Geometry

207

(19)

6.3.2 Mesh

226

(6)

6.3.3 Setup

232

(12)

6.4 Verification

244

(5)

6.4.1 Grid Independent Study

244

(5)

7 Three-Dimensional Fluid Flow and Heat Transfer Modeling in a Heat Sink

249

(38)

7.1 Introduction to Heat Sinks

250

(2)

7.2 Problem Statement

252

(1)

7.3 Modeling using Fluent

253

(29)

7.3.1 Import Geometry

254

(1)

7.3.2 Create Geometry in Design Modeler

254

(15)

7.3.3 Mesh

269

(5)

7.3.4 Setup

274

(4)

7.3.5 Solution

278

(4)

7.4 Verification

282

(5)

References

285

(2)

A Upwind Schemes to Evaluate the Advection Term

287

(4)

B Time Integration Schemes

291

(2)

C Instructions to Download ANSYS

293

(2)

D SpaceClaim Tutorials

295

(38)

Index

333

Imane Khalil is an associate professor of Mechanical Engineering at the University of San Diego. She was born in Beirut, Lebanon and immigrated to the United States in 1989. Imane worked at Sandia National Laboratories in Albuquerque, New Mexico and Livermore, California first as a scientist and then as a manager. She managed the department that performed structural analysis for Curiosity, the rover that landed on Mars in 2012. In addition, Imane was adjunct faculty at the University of New Mexico. In 2014, she joined the University of San Diego to become a full time professor of engineering. Imane is a Fellow member of the American Society of Mechanical Engineering.

Issam Lakkis, Ph.D., is professor and chair of the Mechanical Engineering Department at the American University of Beirut, Beirut, Lebanon. He graduated from AUB with a BE and ME in mechanical Engineering in 1991 and 1993 respectively. He then joined the reacting gas dynamics lab at MIT in 1994 and earned his Ph.D. degree in 2000. From 2000 till 2003, he worked at Coventor on Computer Aided Design of MEMS and RF Circuits. In 2003, he joined AUB and has been a professor since 2017. He is currently the chair of the Mechanical Engineering department. His research interests span species transport in stochastic fields, with applications to pollution transport in the ocean, atmosphere, and urban environments, development of grid-free computational methods for continuum and non-continuum flows, and modeling, design, analysis and simulation of multi-scale/multi-physics micro-devices.

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